ºÝºÝߣshows by User: elisachami / http://www.slideshare.net/images/logo.gif ºÝºÝߣshows by User: elisachami / Wed, 15 Jan 2014 04:13:41 GMT ºÝºÝߣShare feed for ºÝºÝߣshows by User: elisachami PhD Elisa Chami-Castaldi_Measurement Properties of Respondent-Defined Rating-Scales /slideshow/ph-d-elisa-chami-castaldi/30036464 phdelisachami-castaldi-140115041341-phpapp02
MEASUREMENT PROPERTIES OF RESPONDENT-DEFINED RATING-SCALES An Investigation of Individual Characteristics and Respondent Choices 2010 It is critical for researchers to be confident of the quality of survey data. Problems with data quality often relate to measurement method design, through choices made by researchers in their creation of standardised measurement instruments. This is known to affect the way respondents interpret and respond to these instruments, and can result in substantial measurement error. Current methods for removing measurement error are post-hoc and have been shown to be problematic. This research proposes that innovations can be made through the creation of measurement methods that take respondents’ individual cognitions into consideration, to reduce measurement error in survey data. Specifically, the aim of the study was to develop and test a measurement instrument capable of having respondents individualise their own rating-scales. A mixed methodology was employed. The qualitative phase provided insights that led to the development of the Individualised Rating-Scale Procedure (IRSP). This electronic measurement method was then tested in a large multi-group experimental study, where its measurement properties were compared to those of Likert-Type Rating-Scales (LTRSs). The survey included pre-validated psychometric constructs which provided a baseline for comparing the methods, as well as to explore whether certain individual characteristics are linked to respondent choices. Structural equation modelling was used to analyse the survey data. Whilst no strong associations were found between individual characteristics and respondent choices, the results demonstrated that the IRSP is reliable and valid. This study has produced a dynamic measurement instrument that accommodates individual-level differences, not addressed by typical fixed rating-scales.]]>
MEASUREMENT PROPERTIES OF RESPONDENT-DEFINED RATING-SCALES An Investigation of Individual Characteristics and Respondent Choices 2010 It is critical for researchers to be confident of the quality of survey data. Problems with data quality often relate to measurement method design, through choices made by researchers in their creation of standardised measurement instruments. This is known to affect the way respondents interpret and respond to these instruments, and can result in substantial measurement error. Current methods for removing measurement error are post-hoc and have been shown to be problematic. This research proposes that innovations can be made through the creation of measurement methods that take respondents’ individual cognitions into consideration, to reduce measurement error in survey data. Specifically, the aim of the study was to develop and test a measurement instrument capable of having respondents individualise their own rating-scales. A mixed methodology was employed. The qualitative phase provided insights that led to the development of the Individualised Rating-Scale Procedure (IRSP). This electronic measurement method was then tested in a large multi-group experimental study, where its measurement properties were compared to those of Likert-Type Rating-Scales (LTRSs). The survey included pre-validated psychometric constructs which provided a baseline for comparing the methods, as well as to explore whether certain individual characteristics are linked to respondent choices. Structural equation modelling was used to analyse the survey data. Whilst no strong associations were found between individual characteristics and respondent choices, the results demonstrated that the IRSP is reliable and valid. This study has produced a dynamic measurement instrument that accommodates individual-level differences, not addressed by typical fixed rating-scales.]]> Wed, 15 Jan 2014 04:13:41 GMT /slideshow/ph-d-elisa-chami-castaldi/30036464 elisachami@slideshare.net(elisachami) PhD Elisa Chami-Castaldi_Measurement Properties of Respondent-Defined Rating-Scales elisachami MEASUREMENT PROPERTIES OF RESPONDENT-DEFINED RATING-SCALES An Investigation of Individual Characteristics and Respondent Choices 2010 It is critical for researchers to be confident of the quality of survey data. Problems with data quality often relate to measurement method design, through choices made by researchers in their creation of standardised measurement instruments. This is known to affect the way respondents interpret and respond to these instruments, and can result in substantial measurement error. Current methods for removing measurement error are post-hoc and have been shown to be problematic. This research proposes that innovations can be made through the creation of measurement methods that take respondents’ individual cognitions into consideration, to reduce measurement error in survey data. Specifically, the aim of the study was to develop and test a measurement instrument capable of having respondents individualise their own rating-scales. A mixed methodology was employed. The qualitative phase provided insights that led to the development of the Individualised Rating-Scale Procedure (IRSP). This electronic measurement method was then tested in a large multi-group experimental study, where its measurement properties were compared to those of Likert-Type Rating-Scales (LTRSs). The survey included pre-validated psychometric constructs which provided a baseline for comparing the methods, as well as to explore whether certain individual characteristics are linked to respondent choices. Structural equation modelling was used to analyse the survey data. Whilst no strong associations were found between individual characteristics and respondent choices, the results demonstrated that the IRSP is reliable and valid. This study has produced a dynamic measurement instrument that accommodates individual-level differences, not addressed by typical fixed rating-scales. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/phdelisachami-castaldi-140115041341-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> MEASUREMENT PROPERTIES OF RESPONDENT-DEFINED RATING-SCALES An Investigation of Individual Characteristics and Respondent Choices 2010 It is critical for researchers to be confident of the quality of survey data. Problems with data quality often relate to measurement method design, through choices made by researchers in their creation of standardised measurement instruments. This is known to affect the way respondents interpret and respond to these instruments, and can result in substantial measurement error. Current methods for removing measurement error are post-hoc and have been shown to be problematic. This research proposes that innovations can be made through the creation of measurement methods that take respondents’ individual cognitions into consideration, to reduce measurement error in survey data. Specifically, the aim of the study was to develop and test a measurement instrument capable of having respondents individualise their own rating-scales. A mixed methodology was employed. The qualitative phase provided insights that led to the development of the Individualised Rating-Scale Procedure (IRSP). This electronic measurement method was then tested in a large multi-group experimental study, where its measurement properties were compared to those of Likert-Type Rating-Scales (LTRSs). The survey included pre-validated psychometric constructs which provided a baseline for comparing the methods, as well as to explore whether certain individual characteristics are linked to respondent choices. Structural equation modelling was used to analyse the survey data. Whilst no strong associations were found between individual characteristics and respondent choices, the results demonstrated that the IRSP is reliable and valid. This study has produced a dynamic measurement instrument that accommodates individual-level differences, not addressed by typical fixed rating-scales.
PhD Elisa Chami-Castaldi_Measurement Properties of Respondent-Defined Rating-Scales from Elisa Chami-Castaldi
]]> 167 3 https://cdn.slidesharecdn.com/ss_thumbnails/phdelisachami-castaldi-140115041341-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds document Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 1 https://cdn.slidesharecdn.com/profile-photo-elisachami-48x48.jpg?cb=1628086469 Elisa is a Strategist / Planner with Grey London with a background in consulting business strategy. Prior to joining Grey she worked in Deloitte's consulting practice for 5 years within strategy, marketing, operations and technology disciplines, across industries. Elisa is also a trained qual/quant researcher having received a PhD in Marketing Sciences (Consumer Behaviour & Measurement) from Bradford University. During this 4-year period she engaged with industry and the public sector (both within the UK and abroad) on a range of projects as a consultant and quantitative/qualitative researcher. www.echamicastaldi.com